Unpowered Wireless Ultrasound Generation and Sensing for Structural Health Monitoring of Composites

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX12CF04P
Agency Tracking Number: 114235
Amount: $125,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: O3.04
Solicitation Number: N/A
Small Business Information
Signal Processing, Inc.
MD, Rockville, MD, 20850-3563
DUNS: 620282256
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Chiman Kwan
 Principal Investigator
 (240) 505-2641
 chiman.kwan@signalpro.net
Business Contact
 Chiman Kwan
Title: Business Official
Phone: (240) 505-2641
Email: chiman.kwan@signalpro.net
Research Institution
 Stub
Abstract
Damage detection based on ultrasonic waves is one of the most popular inspection schemes employed by many structural health monitoring (SHM) systems. We propose a novel unpowered wireless ultrasound generation and sensing system for SHM. Since ultrasonic signals generally have a frequency of a few tens of kilohertz to a few megahertz, they cannot be easily transmitted using a wireless means because of high sampling and high bandwidth requirements. Our system uses a frequency mixer to up-convert the ultrasonic signal to microwave frequency so that it can be transmitted wirelessly using a small antenna and down-convert the ultrasonic signal back to its original frequency once the wireless signal is received. Because the mixing of the ultrasound and the microwave signal is performed using a passive microwave component, i.e. a frequency mixer, the wireless sensor nodes do not need any local power. For ultrasound generation, an ultrasound-modulated signal is transmitted to a remote ultrasound generator, the generator recovers the ultrasound excitation signal using down conversion and supply it to a piezoelectric actuator. Since the sensing and generating nodes have the same configuration, each node can either act as a generator or a sensor. Sensor array can also be implemented. Compared to SAW sensor, our approach requires smaller antenna and achieves longer distance between interrogation unit and the sensor. Another key difference is that SAW sensor requires special piezoelectric substrate whereas our approach can use any piezoelectric sensor. Finally, the proposed approach is compatible with previous works on ultrasound-based technology. Previously developed knowledge on data processing and feature extraction can be easily adopted.

* information listed above is at the time of submission.

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